| 2026 | AAAI | MoLoRA: Boosting LLM-based End-to-end Speech Translation with Mixture of Low-rank Experts. | Hao Zhang, Yaqi Chen, Nianwen Si, XuKui Yang, Wenlin Zhang, Dan Qu |
| 2025 | EMNLP | MetaMixSpeech: Meta Task Augmentation for Low-Resource Speech Recognition. | Yaqi Chen, Hao Zhang, Wenlin Zhang, XuKui Yang, Dan Qu, Yunpeng Liu |
| 2025 | IJCNN | Think Before Retrieving: Query-Response Relevance Retrieval Augmented Generation. | Sisi Peng, Wenlin Zhang, Dan Qu |
| 2024 | COLING | Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges. | Yaqi Chen, Hao Zhang, Xukui Yang, Wenlin Zhang, Dan Qu |
| 2023 | ICASSP | Decoupled Non-Parametric Knowledge Distillation for end-to-End Speech Translation. | Hao Zhang, Nianwen Si, Yaqi Chen, Wenlin Zhang, Xukui Yang, Dan Qu, Zhen Li |
| 2022 | EMNLP | FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation. | Hao Zhang, Nianwen Si, Yaqi Chen, Zhen Li, Tong Niu, Xukui Yang, Dan Qu |
| 2016 | ICASSP | Using conditional restricted Boltzmann machines for spectral envelope modeling in speech bandwidth extension. | Yingxue Wang, Shenghui Zhao, Dan Qu, Jingming Kuang |
| 2014 | Interspeech | Speaker adaptation based on sparse and low-rank eigenphone matrix estimation. | Wen-Lin Zhang, Dan Qu, Wei-Qiang Zhang, Bi-Cheng Li |